Instructions to use dots-studio/dots3-note-prev-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dots-studio/dots3-note-prev-fp8 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="dots-studio/dots3-note-prev-fp8")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("dots-studio/dots3-note-prev-fp8", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use dots-studio/dots3-note-prev-fp8 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dots-studio/dots3-note-prev-fp8"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dots-studio/dots3-note-prev-fp8",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/dots-studio/dots3-note-prev-fp8

SGLang

How to use dots-studio/dots3-note-prev-fp8 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "dots-studio/dots3-note-prev-fp8" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dots-studio/dots3-note-prev-fp8",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "dots-studio/dots3-note-prev-fp8" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dots-studio/dots3-note-prev-fp8",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use dots-studio/dots3-note-prev-fp8 with Docker Model Runner:
```
docker model run hf.co/dots-studio/dots3-note-prev-fp8
```

dots3-note-prev-fp8 / config.json

MegatronPrimer

Release dots3-note preview

5123155 about 13 hours ago

Raw

History Blame

4.98 kB

	{
	"architectures": [
	"Dots3NoteForCausalLM"
	],
	"apply_mla_qkv_lora_rescale": true,
	"attention_bias": false,
	"attention_dropout": 0.0,
	"attention_gate_type": "headwise",
	"bos_token_id": 151643,
	"eos_token_id": 151668,
	"first_k_dense_replace": 1,
	"hidden_act": "silu",
	"hidden_size": 5120,
	"index_head_dim": 128,
	"index_n_heads": 64,
	"index_topk": 2048,
	"initializer_range": 0.02,
	"intermediate_size": 13824,
	"kv_lora_rank": 512,
	"layer_types": [
	"full_attention",
	"full_attention",
	"sliding_attention",
	"sliding_attention",
	"sliding_attention",
	"full_attention",
	"sliding_attention",
	"sliding_attention",
	"sliding_attention",
	"full_attention",
	"sliding_attention",
	"sliding_attention",
	"sliding_attention",
	"full_attention",
	"sliding_attention",
	"sliding_attention",
	"sliding_attention",
	"full_attention",
	"sliding_attention",
	"sliding_attention",
	"sliding_attention",
	"full_attention",
	"sliding_attention",
	"sliding_attention",
	"sliding_attention",
	"full_attention",
	"sliding_attention",
	"sliding_attention",
	"sliding_attention",
	"full_attention",
	"sliding_attention",
	"sliding_attention",
	"sliding_attention",
	"full_attention",
	"sliding_attention",
	"sliding_attention",
	"sliding_attention",
	"full_attention",
	"sliding_attention",
	"sliding_attention",
	"sliding_attention",
	"full_attention",
	"sliding_attention",
	"sliding_attention",
	"sliding_attention",
	"full_attention"
	],
	"max_position_embeddings": 524288,
	"model_type": "dots3_note",
	"moe_intermediate_size": 1536,
	"moe_layer_freq": 1,
	"n_routed_experts": 256,
	"n_shared_experts": 1,
	"norm_topk_prob": true,
	"num_attention_heads": 128,
	"num_experts_per_tok": 8,
	"num_hidden_layers": 46,
	"num_key_value_heads": 128,
	"pretraining_tp": 1,
	"q_lora_rank": 1024,
	"qk_nope_head_dim": 128,
	"qk_rope_head_dim": 64,
	"quantization_config": {
	"activation_scheme": "dynamic",
	"fmt": "e4m3",
	"quant_method": "fp8",
	"weight_block_size": [
	128,
	128
	]
	},
	"rms_norm_eps": 1e-05,
	"rope_scaling": null,
	"rope_theta": 80000000.0,
	"routed_scaling_factor": 1.0,
	"scoring_func": "sigmoid",
	"sliding_window_size": 513,
	"swa_attention_gate_type": "headwise",
	"swa_kv_lora_rank": 1024,
	"swa_num_attention_heads": 64,
	"swa_num_key_value_heads": 64,
	"swa_q_lora_rank": 1024,
	"swa_qk_nope_head_dim": 192,
	"swa_qk_rope_head_dim": 64,
	"swa_rope_theta": 50000.0,
	"swa_v_head_dim": 128,
	"tie_word_embeddings": false,
	"topk_method": "noaux_tc",
	"torch_dtype": "bfloat16",
	"transformers_version": "4.36.0",
	"use_cache": true,
	"v_head_dim": 128,
	"vocab_size": 152064,
	"vision_config": {
	"embed_dim": 1536,
	"hidden_size": 5120,
	"intermediate_size": 4224,
	"moe_intermediate_size": 2112,
	"num_hidden_layers": 42,
	"num_attention_heads": 24,
	"num_channels": 3,
	"patch_size": 14,
	"spatial_merge_size": 2,
	"temporal_patch_size": 1,
	"rms_norm_eps": 1e-05,
	"use_bias": false,
	"use_qk_norm": true,
	"attn_implementation": "flash_attention_3",
	"initializer_range": 0.02,
	"is_causal": false,
	"post_norm": true,
	"pre_pixel_shuffle": true,
	"pyramid_num_routed": [
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	-1,
	4,
	8,
	12,
	16,
	20,
	24,
	28,
	32,
	36,
	40,
	44,
	48,
	52,
	56,
	60,
	64,
	64
	],
	"capacity_factor": 2,
	"router_scoring_func": "sigmoid",
	"router_scale": 1.0,
	"adapter_type": "patch_merger",
	"adapter_in_dim": 1536,
	"adapter_out_dim": 5120,
	"adapter_merge_size": 2
	},
	"audio_config": {
	"encoder_type": "dots",
	"whisper_config": {
	"d_model": 1280,
	"encoder_attention_heads": 20,
	"encoder_ffn_dim": 5120,
	"encoder_layers": 32,
	"num_mel_bins": 128,
	"max_source_positions": 6000,
	"activation_function": "swiglu"
	},
	"use_conv2d_stem": true,
	"use_rope": true,
	"use_rms_norm": true,
	"use_causal": false,
	"downsample_hidden_size": 480,
	"conv_chunksize": 500,
	"conv_stem_gradient_checkpointing": true,
	"conv_bucket_step": 10,
	"conv_bucket_max_elements": 20000,
	"rope_parameters": {
	"partial_rotary_factor": 0.5,
	"rope_theta": 10000.0
	},
	"merge_factor": 1,
	"chunk_seconds": 60,
	"whisper_adapter_in_dim": 1280,
	"whisper_adapter_out_dim": 5120,
	"sampling_rate": 16000,
	"audio_comp_start": "<\|audio_comp_start\|>",
	"audio_comp_span": "<\|audio_comp_pad\|>",
	"audio_comp_end": "<\|audio_comp_end\|>"
	}
	}